DataRobot Blog

AUGUST 23, 2019

The next day, in the men’s final, we watched the match between our model’s top two favorites, Novak Djokovic (39%) and Roger Federer (32%) compete in an epic final that saw Novak Djokovic win his fifth Wimbledon title. With the 2019 US Open starting, we wanted to see if we could use DataRobot to predict how this tournament will play out.

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CIO Business Intelligence

JUNE 5, 2024

From 2015 to 2019, Statcast consisted of a combination of camera and radar systems, and in 2020, MLB partnered with Hawk-Eye Innovations to provide optical tracking systems. We were the go-to guys for any ML or predictive modeling at that time, but looking back it was very primitive.”

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Smart Data Collective

APRIL 21, 2022

billion in 2019 and is growing rapidly. Since there is enough historical data, the energy companies can apply analytical and predictive models to calculate power generation rates under certain weather conditions. This is why there is a need for expanding IoT applications in the power sector.

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IoT Internet of Things Forecasting Predictive Modeling 126

KDnuggets

AUGUST 22, 2019

We developed an optimal prediction model from correlations in the time and status of ownership as well as the time of the year of sales fluctuations. Using the ATTOM dataset, we extracted data on sales transactions in the USA, loans, and estimated values of property.

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Sales Technology Predictive Modeling Optimization 103

DataRobot

MARCH 2, 2021

In 2019, we launched our AI for Good program to offer the same cutting-edge tools to nonprofits to help them solve the world’s toughest problems. With DataRobot, you can build dozens of predictive models with the push of a button and easily deploy them.

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KDnuggets

SEPTEMBER 23, 2019

Register now for this webinar, Sep 25 @ 12 PM ET, for a clear approach on how to apply machine learning language technology to massive, unstructured data sets in order to create predictive models of what may be the next “it” ingredient, color, flavor or pack size.

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CIO Business Intelligence

JUNE 20, 2022

“We’ve seen a really good improvement in avoiding service requests, call backs, and repeat returns to units,” she says, adding that development on Otis One, which has earned a CIO 100 Award for IT innovation and leadership , started in 2019. Our biggest population is our field technicians so that kind of productivity is critical for us.”.

Internet of Things 105

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Smarten

JUNE 5, 2019

Smarten, an advanced analytics service provider, has announced that it will act as a Silver Sponsor for the Gartner Data & Analytics Summit 2019, June 10 through June 11 in Mumbai, India where it will demonstrate its Smarten Advanced Analytics solution and its product roadmap for the future of the Smarten Augmented Analytics product suite.

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The Unofficial Google Data Science Blog

DECEMBER 4, 2019

Others argue that there will still be a unique role for the data scientist to deal with ambiguous objectives, messy data, and knowing the limits of any given model. Nor can we learn prediction intervals across a large set of parallel time series, since we are trying to generate intervals for a single global time series.

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CIO Business Intelligence

SEPTEMBER 2, 2022

Anupam Khare: We started this journey into data analytics and AI in 2019 and it has become very pervasive within the organization. The approach we use is to develop analytical models based on use cases, with a clear definition of business problems and value. I imagine these models have a direct impact on the customer experience.

Uncertainty 98

Uncertainty Manufacturing Data-driven Business Intelligence 98

CIO Business Intelligence

SEPTEMBER 2, 2022

Anupam Khare: We started this journey into data analytics and AI in 2019 and it has become very pervasive within the organization. The approach we use is to develop analytical models based on use cases, with a clear definition of business problems and value. I imagine these models have a direct impact on the customer experience.

Uncertainty 98

Uncertainty Manufacturing Data-driven Business Intelligence 98

Andrew White

MAY 4, 2020

However, the AI, data and analytics of 2020 are a quite different to what was being adopted or sought just 6 months ago in 2019, Somethings in D&A have changed completely; somethings not prioritized before are now required. The models are practically useless. As a result, the guidance for the decisions are useless too.

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Uncertainty Data Quality Consulting Predictive Modeling 90

Smarten

MAY 10, 2019

Elegant MicroWeb is included in the Gartner Market Guide for Data Preparation Tools, published on April 17, 2019. More information on the data preparation tools market is available in the Gartner report: Market Guide for Data Preparation Tools, Published: 17 April 2019 ID: G00386354, Analyst(s): Ehtisham Zaidi, Sharat Menon.

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Marketing Predictive Modeling Data-driven Visualization 40

AWS Big Data

NOVEMBER 10, 2023

The business opportunity There are 19 predictive models in scope for utilizing 93 features built with AWS Glue across Capitec’s Retail Credit divisions. They emphasized the importance of utilizing decentralized and modular PySpark data pipelines for creating predictive model features.

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KDnuggets

JULY 29, 2019

This free ebook is a great resource for data science beginners, providing a good introduction into Python, coding with Raspberry Pi, and using Python to building predictive models.

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FineReport

MAY 13, 2020

It also can be used to create a predictive model for various business domains and kinds of models, such as classification, regression, and clustering. . When requiring high customization and sophisticated models, the speed is needed. 1 in China’s BI market share in H1 2019. But KNIME is less flexible and slow. .

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Occam's Razor

JANUARY 7, 2019

To help kick-start your 2019 step change , I’ve written two “Top 10” lists, one for Marketing and one for Analytics – consisting of things I recommend you obsess about. Does swapping out male model posters for cute animals triple sales? Identify four relevant micro-outcomes to focus on in 2019. (In Super cool, super profitable.

Marketing Analytics 89

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Smart Data Collective

SEPTEMBER 25, 2019

Analysts have found that the market for big data jobs increased 23% between 2014 and 2019. You can then start to implement more complex analysis such as predictive modeling and continue to move your way up through the ranks. Big data has been billed as being the future of business for quite some time. However, the future is now.

Big Data 101

Big Data Data Science Predictive Modeling Marketing 101

Smarten

JANUARY 17, 2020

As one of its Strategic Assumptions, Gartner predicted that ‘By 2020, more than 40% of data science tasks will be automated, resulting in increased productivity and broader usage by citizen data scientists.’ Look for Self-Serve Data Preparation , Smart Data Visualization , and Assisted Predictive Modeling.

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Analytics Predictive Modeling Business Analysis Visualization 52

IBM Big Data Hub

MAY 16, 2023

According to an Everest Group® study , offshore MMS centers increased over 50% from 2019 to 2022. MMS for customer experience includes: User experience strategy Journey mapping Segmentation Predictive modeling Social listening Customer data management 4. What are managed marketing services (MMS)?

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Marketing Management Optimization Cost-Benefit 69

BizAcuity

APRIL 25, 2022

From 2009 to 2019, in a span of 10 years, the United States tripled its gross gaming revenue from $34.3 According to Statista, the global influencer marketing market value has more than doubled since 2019, standing at around 13.8 In studying customer behavior, an AI model is trained to identify the right offer for the right player.

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Depict Data Studio

SEPTEMBER 17, 2019

His experience includes evaluation and outcomes studies, ROI analysis, IBNR determination, predictive modeling, risk adjustment methodologies, advanced data visualization, dashboard design and implementation, database development and management, and identifying and evaluating trends and forces in data. Courses always sell out.

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O'Reilly on Data

SEPTEMBER 11, 2019

Our call for speakers for Strata NY 2019 solicited contributions on the themes of data science and ML; data engineering and architecture; streaming and the Internet of Things (IoT); business analytics and data visualization; and automation, security, and data privacy. 2 in frequency in proposal topics; a related term, “models,” is No.

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IoT Big Data Data Warehouse Uncertainty 26

Smart Data Collective

SEPTEMBER 30, 2021

2019) in their article ‘A Novel Air Quality Early-Warning System Based on Artificial Intelligence’ is based on an air pollution prediction model as well as an air quality evaluation model. Yang, Machine learning and artificial intelligence to aid climate change research and preparedness (2019), IOPScience. [3]

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Machine Learning Cost-Benefit Optimization Forecasting 134

Smart Data Collective

AUGUST 7, 2019

In 2019, big data technology is paramount in business. Creating predictive models. If your company lacks a big data strategy, then you need to start developing one today. The best thing that you can do is find some data analytics tools to solve your most pressing challenges. Analysis of profitability and customer value.

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Insight

FEBRUARY 19, 2020

My goal here is not to improve upon the current prediction algorithms but rather to describe a model I devised, called ReelRisk , that uses random resampling to generate a range of predictions which can then be used as a risk assessment tool to determine early on whether to fund a movie.

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Jet Global

MAY 1, 2023

These licensing terms are critical: Perpetual license vs subscription: Subscription is a pay-as-you-go model that provides flexibility as you evaluate a vendor. Pricing model: The pricing scale is dependent on several factors. It is organized to create a top-down model that is used for analysis and reporting.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Smarten

JANUARY 6, 2025

billion in 2019 to $187 billion by 2030, reflecting a compound annual growth rate (CAGR) of over 31%. No code predictive analytics , low code data analytics and no code business intelligence solutions provide numerous advantages and benefits to the enterprise and its users.

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